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1. 发明授权

US08644562B2 Multimodal ocular biometric system and methods 有权
标题翻译：多模式眼睛生物识别系统和方法
公开(公告)号：US08644562B2
公开(公告)日：2014-02-04
申请号：US13459731
申请日：2012-04-30
申请人： Yasunari Tosa , David Usher , Nicholas A. Accomando , Vladimir Ruzhitsky , Faisal Bashir
发明人： Yasunari Tosa , David Usher , Nicholas A. Accomando , Vladimir Ruzhitsky , Faisal Bashir
IPC分类号： G06K9/00 , G06K9/62 , G06K9/68
CPC分类号： G06K9/00604 , G06T7/12 , G06T7/149 , G06T7/168 , G06T2207/30201
摘要： Biometric systems capture and combine biometric information from more than one modality, employing digital processing algorithms to process and evaluate captured images having data for a biometric characteristic. Such digital algorithms may include a pupil segmentation algorithm for determining a pupil image in the captured image, an iris segmentation algorithm for determining an iris image in the captured image, an eyelid/eyelash segmentation algorithm for determining an eyelid/eyelash image in the captured image, and an algorithm for measuring the focus on the iris. Some embodiments employ an auto-capture process which employs such algorithms, in part; to evaluate captured images and obtain the best possible images for biometric identification.
摘要翻译：生物识别系统捕获和组合来自多种模式的生物特征信息，采用数字处理算法来处理和评估具有生物特征数据的捕获图像。这样的数字算法可以包括用于确定拍摄图像中的瞳孔图像的瞳孔分割算法，用于确定所捕获图像中的虹膜图像的虹膜分割算法，用于确定所捕获图像中的眼睑/睫毛图像的眼睑/睫毛分割算法，以及用于测量虹膜焦点的算法。一些实施例部分采用采用这种算法的自动捕获过程; 以评估捕获的图像并获得用于生物特征识别的最佳图像。

2. 发明授权

US08577093B2 Long distance multimodal biometric system and method 有权
标题翻译：长距离多模态生物识别系统及方法
公开(公告)号：US08577093B2
公开(公告)日：2013-11-05
申请号：US13400499
申请日：2012-02-20
申请人： Marc D. Friedman , Nicholas A. Accomando , Faisal Bashir , Pablo Casaverde , Stephen F. Daly , David J. Hitchcock , Romina Marie Johnson Jose , Tim McNerney , David Muller , Vladimir Ruzhitsky , Yasunari Tosa , David Usher
发明人： Marc D. Friedman , Nicholas A. Accomando , Faisal Bashir , Pablo Casaverde , Stephen F. Daly , David J. Hitchcock , Romina Marie Johnson Jose , Tim McNerney , David Muller , Vladimir Ruzhitsky , Yasunari Tosa , David Usher
IPC分类号： G06K9/00 , H04N7/18
CPC分类号： G06K9/00604 , G06K9/00255
摘要： A system for multimodal biometric identification has a first imaging system that detects one or more subjects in a first field of view, including a targeted subject having a first biometric characteristic and a second biometric characteristic; a second imaging system that captures a first image of the first biometric characteristic according to first photons, where the first biometric characteristic is positioned in a second field of view smaller than the first field of view, and the first image includes first data for biometric identification; a third imaging system that captures a second image of the second biometric characteristic according to second photons, where the second biometric characteristic is positioned in a third field of view which is smaller than the first and second fields of view, and the second image includes second data for biometric identification. At least one active illumination source emits the second photons.
摘要翻译：一种用于多模式生物识别的系统具有第一成像系统，其检测第一视场中的一个或多个被摄体，包括具有第一生物特征和第二生物特征的目标对象; 第二成像系统，其根据第一光子捕获第一生物特征的第一图像，其中第一生物特征位于小于第一视场的第二视野中，并且第一图像包括用于生物识别的第一数据 ; 第三成像系统，其根据第二光子捕获第二生物特征的第二图像，其中所述第二生物特征位于小于所述第一和第二视场的第三视场中，并且所述第二图像包括第二图像生物识别数据。至少一个有源照明源发射第二光子。

3. 发明授权

US07970179B2 Iris data extraction 有权
标题翻译：虹膜数据提取
公开(公告)号：US07970179B2
公开(公告)日：2011-06-28
申请号：US11526096
申请日：2006-09-25
申请人： Yasunari Tosa
发明人： Yasunari Tosa
IPC分类号： G06K9/00 , G06K9/48 , A61B3/14
CPC分类号： G06K9/00597 , G06K9/0061
摘要： A process for extracting iris data for biometric identification includes a thresholding method where the thresholds are selected according to a nonparametric approach that considers the grey scale and does not require classifying pixels as edge or non-edge pixels. An eye image is first acquired, where the eye image has component images including an iris image with an inner boundary and an outer boundary. The eye image has a distribution of grey levels. Component images, such as an iris image or a pupil image, from the eye image are segmented according to the distribution of grey levels. The inner boundary and outer boundary of the iris image are determined from the component images. The iris image within the inner boundary and outer boundary is processed for biometric identification. The component images may be segmented by creating an eye histogram of pixel intensities from the distribution of grey levels.
摘要翻译：用于提取用于生物特征识别的虹膜数据的过程包括阈值方法，其中根据考虑灰度级并且不需要将像素分类为边缘或非边缘像素的非参数方法来选择阈值。首先获取眼睛图像，其中眼睛图像具有包括具有内边界和外边界的虹膜图像的分量图像。眼睛图像具有灰度分布。根据灰度级别的分布，将来自眼睛图像的分量图像（例如虹膜图像或瞳孔图像）分割。虹膜图像的内边界和外边界由分量图像确定。处理内边界和外边界内的虹膜图像进行生物识别。可以通过从灰度级分布中创建像素强度的眼图直方图来分割分量图像。

4. 发明申请

US20080253622A1 Multimodal ocular biometric system and methods 有权
标题翻译：多模式眼睛生物识别系统和方法
公开(公告)号：US20080253622A1
公开(公告)日：2008-10-16
申请号：US11898190
申请日：2007-09-10
申请人： Yasunari Tosa , David Usher , Nicholas A. Accomando , Vladimir Ruzhitsky , Faisal Bashir
发明人： Yasunari Tosa , David Usher , Nicholas A. Accomando , Vladimir Ruzhitsky , Faisal Bashir
IPC分类号： G06K9/80
CPC分类号： G06K9/00604 , G06T7/12 , G06T7/149 , G06T7/168 , G06T2207/30201
摘要： Biometric systems capture and combine biometric information from more than one modality, employing digital processing algorithms to process and evaluate captured images having data for a biometric characteristic. Such digital algorithms may include a pupil segmentation algorithm for determining a pupil image in the captured image, an iris segmentation algorithm for determining an iris image in the captured image, an eyelid/eyelash segmentation algorithm for determining an eyelid/eyelash image in the captured image, and an algorithm for measuring the focus on the iris. Some embodiments employ an auto-capture process which employs such algorithms, in part, to evaluate captured images and obtain the best possible images for biometric identification.
摘要翻译：生物识别系统捕获和组合来自多种模式的生物特征信息，采用数字处理算法来处理和评估具有生物特征数据的捕获图像。这样的数字算法可以包括用于确定拍摄图像中的瞳孔图像的瞳孔分割算法，用于确定所捕获图像中的虹膜图像的虹膜分割算法，用于确定所捕获图像中的眼睑/睫毛图像的眼睑/睫毛分割算法，以及用于测量虹膜焦点的算法。一些实施例采用自动捕获过程，其采用这样的算法，部分地评估捕获的图像并获得用于生物特征识别的最佳可能图像。

5. 发明授权

US08433103B2 Long distance multimodal biometric system and method 有权
公开(公告)号：US08433103B2
公开(公告)日：2013-04-30
申请号：US11898188
申请日：2007-09-10
申请人： Marc D. Friedman , Pablo Casaverde , Tim McNerney , Yasunari Tosa , David Usher , David Muller , Faisal Bashir , David J. Hitchcock
发明人： Marc D. Friedman , Pablo Casaverde , Tim McNerney , Yasunari Tosa , David Usher , David Muller , Faisal Bashir , David J. Hitchcock
IPC分类号： G06K9/00
CPC分类号： G06K9/00604 , G06K9/00255
摘要： A system for multimodal biometric identification has a first imaging system that detects one or more subjects in a first field of view, including a targeted subject having a first biometric characteristic and a second biometric characteristic; a second imaging system that captures a first image of the first biometric characteristic according to first photons, where the first biometric characteristic is positioned in a second field of view smaller than the first field of view, and the first image includes first data for biometric identification; a third imaging system that captures a second image of the second biometric characteristic according to second photons, where the second biometric characteristic is positioned in a third field of view which is smaller than the first and second fields of view, and the second image includes second data for biometric identification. At least one active illumination source emits the second photons.

6. 发明授权

US08391567B2 Multimodal ocular biometric system 有权
公开(公告)号：US08391567B2
公开(公告)日：2013-03-05
申请号：US13196617
申请日：2011-08-02
申请人： Marc D. Friedman , Pablo Casaverde , Don Yansen , Tim McNerney , Yasunari Tosa , David Usher , Nicholas A. Accomando , David Muller , Greg Heacock , John Marshall
发明人： Marc D. Friedman , Pablo Casaverde , Don Yansen , Tim McNerney , Yasunari Tosa , David Usher , Nicholas A. Accomando , David Muller , Greg Heacock , John Marshall
IPC分类号： G06K9/00 , A61B3/14 , A61B3/10
CPC分类号： H04N7/18 , A61B3/1216 , A61B3/14 , G06K9/00597
摘要： A multimodal biometric identification system captures and processes images of both the iris and the retina for biometric identification. Another multimodal ocular system captures and processes images of the iris and/or the from both eyes of a subject. Biometrics based on data provided by these systems are more accurate and robust than using biometrics that include data from only the iris or only the retina from a single eye. An exemplary embodiment emits photons to the iris and the retina of both eyes, an iris image sensor that captures an image of the iris when the iris reflects the emitted light, a retina image sensor that captures an image of the retina when the retina reflects the emitted light, and a controller that controls the iris and the retina illumination sources, where the captured image of the iris and the captured image of the retina contain biometric data.

7. 发明授权

US08340364B2 Iris data extraction 有权
标题翻译：虹膜数据提取
公开(公告)号：US08340364B2
公开(公告)日：2012-12-25
申请号：US13096401
申请日：2011-04-28
申请人： Yasunari Tosa
发明人： Yasunari Tosa
IPC分类号： G06K9/00 , G06K9/62
CPC分类号： G06K9/00597 , G06K9/0061
摘要： A process for extracting iris data for biometric identification includes a thresholding method where the thresholds are selected according to a nonparametric approach that considers the grey scale and does not require classifying pixels as edge or non-edge pixels. An eye image is first acquired, where the eye image has component images including an iris image with an inner boundary and an outer boundary. The eye image has a distribution of grey levels. Component images, such as an iris image or a pupil image, from the eye image are segmented according to the distribution of grey levels. The inner boundary and outer boundary of the iris image are determined from the component images. The iris image within the inner boundary and outer boundary is processed for biometric identification. The component images may be segmented by creating an eye histogram of pixel intensities from the distribution of grey levels.
摘要翻译：用于提取用于生物特征识别的虹膜数据的过程包括阈值方法，其中根据考虑灰度级并且不需要将像素分类为边缘或非边缘像素的非参数方法来选择阈值。首先获取眼睛图像，其中眼睛图像具有包括具有内边界和外边界的虹膜图像的分量图像。眼睛图像具有灰度分布。根据灰度级别的分布，将来自眼睛图像的分量图像（例如虹膜图像或瞳孔图像）分割。虹膜图像的内边界和外边界由分量图像确定。处理内边界和外边界内的虹膜图像进行生物识别。可以通过从灰度级分布中创建像素强度的眼图直方图来分割分量图像。

8. 发明申请

US20120213418A1 MULTIMODAL OCULAR BIOMETRIC SYSTEM AND METHODS 有权
标题翻译：多模态生物量系统与方法
公开(公告)号：US20120213418A1
公开(公告)日：2012-08-23
申请号：US13459731
申请日：2012-04-30
申请人： Yasunari Tosa , David Usher , Nichoas A. Accomando , Vladimir Ruzhitsky , Faisal Bashir
发明人： Yasunari Tosa , David Usher , Nichoas A. Accomando , Vladimir Ruzhitsky , Faisal Bashir
IPC分类号： G06K9/34
CPC分类号： G06K9/00604 , G06T7/12 , G06T7/149 , G06T7/168 , G06T2207/30201
摘要： Biometric systems capture and combine biometric information from more than one modality, employing digital processing algorithms to process and evaluate captured images having data for a biometric characteristic. Such digital algorithms may include a pupil segmentation algorithm for determining a pupil image in the captured image, an iris segmentation algorithm for determining an iris image in the captured image, an eyelid/eyelash segmentation algorithm for determining an eyelid/eyelash image in the captured image, and an algorithm for measuring the focus on the iris. Some embodiments employ an auto-capture process which employs such algorithms, in part; to evaluate captured images and obtain the best possible images for biometric identification.
摘要翻译：生物识别系统捕获和组合来自多种模式的生物特征信息，采用数字处理算法来处理和评估具有生物特征数据的捕获图像。这样的数字算法可以包括用于确定拍摄图像中的瞳孔图像的瞳孔分割算法，用于确定所捕获图像中的虹膜图像的虹膜分割算法，用于确定所捕获图像中的眼睑/睫毛图像的眼睑/睫毛分割算法，以及用于测量虹膜焦点的算法。一些实施例部分采用采用这种算法的自动捕获过程; 以评估捕获的图像并获得用于生物特征识别的最佳图像。

9. 发明授权

US08014571B2 Multimodal ocular biometric system 有权
标题翻译：多模式眼睛生物识别系统
公开(公告)号：US08014571B2
公开(公告)日：2011-09-06
申请号：US11798500
申请日：2007-05-14
申请人： Marc D. Friedman , Pablo Casaverde , Don Yansen , Tim McNerney , Yasunari Tosa , David Usher , Nicholas A. Accomando , David Muller , Greg Heacock , John Marshall
发明人： Marc D. Friedman , Pablo Casaverde , Don Yansen , Tim McNerney , Yasunari Tosa , David Usher , Nicholas A. Accomando , David Muller , Greg Heacock , John Marshall
IPC分类号： G06K9/00 , A61B3/14 , A61B3/10
CPC分类号： H04N7/18 , A61B3/1216 , A61B3/14 , G06K9/00597
摘要： A multimodal biometric identification system captures and processes images of both the iris and the retina for biometric identification. Another multimodal ocular system captures and processes images of the iris and/or the from both eyes of a subject. Biometrics based on data provided by these systems are more accurate and robust than using biometrics that include data from only the iris or only the retina from a single eye. An exemplary embodiment emits photons to the iris and the retina of both eyes, an iris image sensor that captures an image of the iris when the iris reflects the emitted light, a retina image sensor that captures an image of the retina when the retina reflects the emitted light, and a controller that controls the iris and the retina illumination sources, where the captured image of the iris and the captured image of the retina contain biometric data.
摘要翻译：多模式生物识别系统捕获并处理虹膜和视网膜的图像以进行生物识别。另一个多模态眼系统捕获并处理虹膜和/或从受试者的双眼的图像。基于这些系统提供的数据的生物识别技术比使用仅包括虹膜的数据或仅来自单个眼睛的视网膜的生物识别技术更准确和鲁棒。示例性实施例将光子发射到虹膜和双眼视网膜，虹膜图像传感器，当虹膜反射发射的光时捕获虹膜的图像;视网膜图像传感器，其在视网膜反射时捕获视网膜的图像以及控制虹膜和视网膜照明源的控制器，其中虹膜的捕获图像和视网膜的捕获图像包含生物特征数据。

10. 发明申请

US20110200235A1 Iris Data Extraction 有权
标题翻译：虹膜数据提取
公开(公告)号：US20110200235A1
公开(公告)日：2011-08-18
申请号：US13096401
申请日：2011-04-28
申请人： Yasunari TOSA
发明人： Yasunari TOSA
IPC分类号： G06K9/00
CPC分类号： G06K9/00597 , G06K9/0061
摘要： A process for extracting iris data for biometric identification includes a thresholding method where the thresholds are selected according to a nonparametric approach that considers the grey scale and does not require classifying pixels as edge or non-edge pixels. An eye image is first acquired, where the eye image has component images including an iris image with an inner boundary and an outer boundary. The eye image has a distribution of grey levels. Component images, such as an iris image or a pupil image, from the eye image are segmented according to the distribution of grey levels. The inner boundary and outer boundary of the iris image are determined from the component images. The iris image within the inner boundary and outer boundary is processed for biometric identification. The component images may be segmented by creating an eye histogram of pixel intensities from the distribution of grey levels.
摘要翻译：用于提取用于生物特征识别的虹膜数据的过程包括阈值方法，其中根据考虑灰度级并且不需要将像素分类为边缘或非边缘像素的非参数方法来选择阈值。首先获取眼睛图像，其中眼睛图像具有包括具有内边界和外边界的虹膜图像的分量图像。眼睛图像具有灰度分布。根据灰度级别的分布，将来自眼睛图像的分量图像（例如虹膜图像或瞳孔图像）分割。虹膜图像的内边界和外边界由分量图像确定。处理内边界和外边界内的虹膜图像进行生物识别。可以通过从灰度级分布中创建像素强度的眼图直方图来分割分量图像。

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